基于确定学习的心肌缺血早期诊断系统的配套信息管理系统的开发

发布时间：2019-04-13 16:06

【摘要】：心肌缺血是对人类生命健康具有重大威胁的一种常见的心血管类疾病,其发病率正逐步攀升,并伴随着年轻化的趋势。在不进行干预治疗的情况下,心肌缺血会发展成劳累性心绞疼、心肌梗塞甚至心肌梗死。及早发现心肌缺血的情况,进行合适的治疗处理,能有效地降低患者的猝死率。心肌缺血在临床上的主要表现是心电图ST-T段的形态和幅值的变化,仅通过心电图进行心肌缺血诊断具有一定局限性。基于确定学习理论对常规12导联心电图的ST-T段进行准确建模,并将建模结果三维可视化显示得到心电动力学图(Cardiodynamicsgram,CDG),进而在此基础上提出可用于心肌缺血早期诊断的量化指标,为临床推广和应用打下了良好的基础。但是,临床上获取及建模得到的各种数据在诊断系统中都没能得到有效的管理,使得该方法在临床应用及市场推广上受到极大的制约和限制。因此,一个高效的数据管理系统对心肌缺血早期诊断系统具有重要的意义。针对上述问题,本文采用SQL Server数据库技术开发了一套心电数据库管理系统,在系统中采用索引、存储过程等方式来保证数据库的高效性能,并且实现了数据库间同步。采用MATLAB GUI技术和JDBC数据库连接技术来开发了配套信息管理系统,初步实现了对病人病历信息、心电信息、建模学习信息等的高效管理和利用,以及心电数据的批量存储与学习,且界面友好、操作简单,便于临床推广应用。目前,本文设计的心电数据库收集了北京阜外医院临床病人数据702个病历合计770条心电记录,在早期心肌缺血辅助诊断项目中起到了重要作用,配合设计的信息管理系统对建模分析得出的结果与病历信息结合研究提供了快捷、方便途径,并为后续的研究打下了坚实的基础,具有良好的实用性。
[Abstract]:Myocardial ischemia is a common cardiovascular disease, which is a serious threat to human life and health. The incidence of myocardial ischemia is increasing gradually, and it is accompanied by the trend of youth. Without intervention, myocardial ischemia can develop into painstaking pain, myocardial infarction and even myocardial infarction. Early detection of myocardial ischemia and proper treatment can effectively reduce the sudden death rate of the patients. The main clinical manifestation of myocardial ischemia is the change of shape and amplitude of ST-T segment of ECG. It is limited to diagnose myocardial ischemia only by ECG. Based on the deterministic learning theory, the ST-T segment of the conventional 12-lead ECG was accurately modeled, and the results of the modeling were visualized to obtain the ECG dynamic cardiogram (Cardiodynamicsgram,CDG). On this basis, the quantitative indexes which can be used in early diagnosis of myocardial ischemia are proposed, which lays a good foundation for clinical popularization and application. However, all kinds of data obtained from clinical acquisition and modeling have not been effectively managed in the diagnosis system, which makes the method greatly restricted and restricted in clinical application and market popularization. Therefore, an efficient data management system is of great significance for early diagnosis of myocardial ischemia. In order to solve the above problems, a set of ECG database management system is developed by using SQL Server database technology. In the system, indexes and stored procedures are used to ensure the efficient performance of the database, and the synchronization between databases is realized. The supporting information management system is developed by using MATLAB GUI technology and JDBC database connection technology. The effective management and utilization of patient's medical record information, ECG information, modeling and learning information, as well as the bulk storage and learning of ECG data are realized. And the interface is friendly, the operation is simple, it is convenient for clinical popularization and application. At present, the ECG database designed in this paper has collected 770 ECG records from 702 medical records in Fuwai Hospital in Beijing, which has played an important role in the early diagnosis of myocardial ischemia. The designed information management system provides a quick and convenient way to combine the results of modeling and analysis with the information of medical records. It also lays a solid foundation for the follow-up research and has good practicability.
【学位授予单位】：华南理工大学
【学位级别】：硕士
【学位授予年份】：2016
【分类号】：TP311.52;R542.2

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